Hi everyone,
I am running structural equation models in STATA. I have issues of nonnormality and missing values in my dataset. I was able to estimate a model using Maximum Likelihood of Missing Values, however, this method assumes joint normality. A colleague of mine suggested using weighted least squares, so I attempted to estimate my model using asymptotic distribution free (adf) method. However, my model would not converge. Does anyone know the best way to estimate SEM models with non-normal and missing data? If I use the adf method, how do I handle missing data without deleting those missing values?
Thank you for your help.
I am running structural equation models in STATA. I have issues of nonnormality and missing values in my dataset. I was able to estimate a model using Maximum Likelihood of Missing Values, however, this method assumes joint normality. A colleague of mine suggested using weighted least squares, so I attempted to estimate my model using asymptotic distribution free (adf) method. However, my model would not converge. Does anyone know the best way to estimate SEM models with non-normal and missing data? If I use the adf method, how do I handle missing data without deleting those missing values?
Thank you for your help.
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